Coordination Opportunities for Computer Support of Teamwork in Complex Healthcare Ofra Amir Barbara Grosz Krzysztof Gajos Harvard School of Engineering and Applied Sciences Sonja Swenson Lee ID: 562626
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From Care Plans to Care Coordination: Opportunities for Computer Support of Teamwork in Complex Healthcare
Ofra Amir, Barbara Grosz, Krzysztof
Gajos
Harvard School of Engineering and Applied Sciences
Sonja Swenson, Lee
Sanders
Stanford UniversitySlide2
Parents
Primary Care Provider
Physical Therapist
Neurologist
School nurse
Camp counselor
Health aide
Teacher
Speech Therapist
GI
The Care for Children with Complex Chronic Conditions
The Problem:
care for children with complex conditions is poorly coordinated, leading to unmet health needs and preventable health care crisesSlide3
Team-Based Care Plans for Improved Coordination (LPFCH, 2014)
Goals
Actions
CaregiversMove to oral feeds
Improve mouth muscle toneAdjust formula for weight gain
PCP, GI, OT, nutritionistStart daycare
Minimize need for tube feeds
Assess therapy needs
Parents, PCP, nutritionist, home nurseGo on family trip
Arrange portable equipmentArrange funding and transportationParents, PCP, PT, social worker
Rationale:
everybody “on the same page”In practice:
rarely deployed or consulted Slide4
ContributionsA qualitative study of complex care teamsCare coordination challengesBarriers to effective care plan implementation
Defining “FLECS” teamwork characteristics
Foundations for
technology design based on a computational teamwork theorySlide5
Study of Complex Care TeamsGoal: understand care coordination challengesInterviews and observations of team members:
Parents (13)
Primary care providers (4)Specialists (4)Therapists (8)
Care coordinator (1)Program directors (2)Family services coordinator (1)Social worker (1)Analyzed using affinity diagrammingSlide6
Barriers to Effective Care Plan Use:Complex Teamwork in Complex Care“
FLECS
” teamwork characteristics: F
lat-structure of teamLoosely coupled plans and activities
Extended duration of plans Continual distributed revision of
plansSyncopated time scalesSlide7
Flat Structure
No single person in charge:
“We have different goals for different specialists; it is hard to keep track.” (parent
)Need to prioritize goals because “everyone wants to work on everything.” (parent)Slide8
Loosely Coupled Activities
Loose coupling makes appropriate information sharing hard:
“There isn’t an example when I wasn’t missing
information” (specialist)“We need to relay information back and forth...”
(parent)Slide9
Extended Duration,Continual Distributed Plan Revision
No mechanism to support plan revision:
Full-team meetings “totally not scalable”
(specialist)“All the status chats have to be provider initiated, and so if you don’t remember to do it or there’s no one coordinating it, it’s like where is it going, where do you even look for it
?” (specialist)Slide10
Syncopated Time ScalesDifferent frequencies of seeing the patient
Primary care providers: 3 to 4 times a year
Specialists: 2 to 3 time a yearTherapists: 1 to 3 times a week
Different information needs:“A doctor asks if she is walking and expects a yes/no
answer; a physical therapist will ask how she is walking and how much progress she has made.” (parent)Slide11
Team-Based Care Plans: Ideal vs. RealityFLECS teamwork poses coordination challenges
Principles for successful care plan use
(LPFCH,
2014) do not hold:“The plan of care is systematized as a common, shared document;
it is used consistently by every provider…”“The team monitors progress
against goals, provides feedback and adjusts the plan of care on an ongoing basis…”
“Family-centered care teams can access the information they need to make shared, informed decisions.”
How can technology better
support such complex teamwork?Slide12
Technology for Supporting TeamworkFLECS teamwork goes beyond prior work
Supporting healthcare teams
Temporal coordination
(Bardram 2000)Centralized re-planning
(Bardram 2010
)Mobile home care teams (Pinelle
& Gutwin 2006)
CSCW and social science teamwork theories and tools
(Hutchins 1996 ; Star & Griesemer 1989; Hinds and McGrath 2006; Reddy & Spence 2008;…)Slide13
Foundations for Design of Systems to Support Complex Care TeamsSharedPlans
(Grosz &
Kraus 1996)
: A computational theory of collaboration
“..the capabilities needed for collaboration cannot be patched on but must be designed in from the start.
"Slide14
SharedPlans
Representation
adjust formula
funding & transportation
follow family priorities
move to oral feeds
go on family trip
improve mouth muscle tone
{parents, primary care provider, specialists, therapists, community members}
{primary care provider, physical therapist, social worker}
{primary care provider, gastroenterologist, occupational therapist, nutritionist}
arrange equipment
{…}
{…}
{…}
{…}Slide15
adjust formula
arrange equipment
go on family trip
move to oral feeds
SharedPlans
Representation
funding & transportation
follow family priorities
{parents, primary care provider, specialists, therapists, community members}
{primary care provider, physical therapist, social worker}
{primary care provider, gastroenterologist, occupational therapist, nutritionist}
{…}
{…}
{…}
{…}
improve mouth muscle toneSlide16
improve mouth muscle tone
SharedPlans
Representation
adjust formula
arrange equipment
go on family trip
move to oral feeds
funding & transportation
follow family priorities
{parents, primary care provider, specialists, therapists, community members}
{primary care provider, physical therapist, social worker}
{…}
{…}
{…}
{…}
{primary care provider, gastroenterologist, occupational therapist, nutritionist}Slide17
adjust formula
Agreement on
High-Level Approach, Mutual Beliefs
funding & transportation
follow family priorities
move to oral feeds
go on family trip
improve mouth muscle tone
{parents, primary care provider, specialists, therapists, community members}
{primary care provider
,
physical therapist, social worker}
{primary care provider, gastroenterologist, occupational therapist, nutritionist}
arrange equipment
{…}
{…}
{…}
{…}Slide18
Agreement on High-Level Approach, Mutual Beliefs
Opportunity for Technology Support:
make care plan “ever-present”
adapt presentation to team members
Current Systems:
care plans are not integratedno adaptation of plan informationSlide19
Dynamically Evolving Plans
…
…
…
…
funding & transportation
follow family priorities
move to oral feeds
go on family trip
improve mouth muscle tone
adjust formula
arrange equipment
{parents, primary care provider, specialists, therapists, community members}
{primary care provider, physical therapist, social worker}
{primary care provider, gastroenterologist, occupational therapist, nutritionist}
{…}
{…}
{…}
{…}Slide20
Dynamically Evolving Plans
Opportunity for Technology Support:
d
ynamic plan structure
support revision and expansion
Current Systems:
static, flat representationSlide21
adjust formula
…
…
…
…
funding & transportation
follow family priorities
move to oral feeds
go on family trip
improve mouth muscle tone
{parents, primary care provider, specialists, therapists, community members}
{primary care provider, physical therapist, social worker}
{primary care provider, gastroenterologist, occupational therapist, nutritionist}
arrange equipment
Communication and Coordination
{…}
{…}
{…}
{…}Slide22
Communication and Coordination
Opportunity for Technology Support:
improved information sharing interfaces
reasoning about team members’ context
Current Systems:
little organization and contextinformation overloadSlide23
Key Roles for Technology for Supporting Complex Care Teams
Make
the care plan “ever present”Support plan revision and expansion
Support efficient information sharingChallenges:
Eliciting plansInferring context in planReasoning about information sharingSlide24
Ongoing Work: GoalKeeperSlide25
Ongoing Work: Information Sharing Algorithms
What information to share?
Who to share information with?
When
to share information ?
How to present information?Slide26
Ongoing Work:Supporting Collaborative Writing
**Come check
out
our WiP
poster today** Deploying AI Methods to Support Collaborative Writing:
a Preliminary Investigation Gehrmann
, Urke, Amir and Grosz, 2015Slide27
ConclusionQualitative study of complex care teamsIdentifying FLECS teamwork characteristics Foundations for technology design from computational teamwork theories
Ongoing work toward designing such systems…
Ofra Amir, Barbara Grosz, Krzysztof
Gajos
Harvard School of Engineering and Applied Sciences
Sonja Swenson, Lee
Sanders
Stanford University